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About Company:USEReady helps businesses to be self-reliant on data. Growing over 3000% since inception, USEReady achieved #113 rank in Inc 500 2015 and honoured top 100 companies in North America 2015 by Red Herring. USEReady is built on strong entrepreneurial spirit with unprecedented opportunities for career growth. At USEReady, we believe in achieving career growth while improving our individual competencies. If you desire to be part of a team that believes in mutual success and inspiration, you are welcome to apply.USEReady helps enterprises apply AI and agentic intelligence to improve decisions, automate operations, and build smarter, more autonomous business systems.For more than a decade, we have built the foundations that make this possible by modernizing BI environments, migrating legacy platforms, improving data quality, and enabling governed, cloud-first architectures. These foundations now support the next step: AI-driven insights, automated intelligence, and agent-powered decision support that reduce complexity and accelerate outcomes.We work closely with technology leaders such as AWS, Elementum, Snowflake, Tableau, Databricks, and others to help organizations modernize analytics, strengthen governance, and deploy agentic automation with confidence. Headquartered in New York City with 450+ experts across the United States, Canada, India, and Singapore, we serve industries including financial services, healthcare, manufacturing, government, education, and retail. Our deep expertise, player-coach delivery model, and focus on fast, measurable results make us a trusted partner for building an AI-ready enterprise.Check us out at Role Overview Useready is looking for an aspiring Data Engineering cum Data Scientist to join the team. The ideal candidate for this key position will possess a natural tendency toward analytical thinking, combined with client-facing consultative interpersonal skills. They will be naturally curious about data purity, big data analysis, machine learning, and product development, and have proven strengths in data science and data engineering. Our team of Data Engineers and Data Scientists are responsible for collaborating with clients and internal teams to solve complex data-related challenges for some of the biggest brands in the world.This is not a typical data scientist role. Our work is about consistently solving a multitude of client problems with data engineering and data science solutions. You’ll learn about data engineering pipelines, big data and marketing data sets and apply your understanding of data science and machine learning concepts. You will be our client’s hero, achieving daily wins by applying marketing segmentation, attribution and propensity modeling to surface sophisticated insights out of marketing data warehouses that you help buildResponsibilitiesCollaborate closely with Data Engineers to implement strategic engineering proof of concepts and contribute to technology strategy and engineering roadmapsCollaborate with clients and internal partners throughout the organization to identify and execute upon opportunities for demonstrating marketing data to drive business solutionsAudit existing datasets for accuracy, reliability and consistencyAdvise senior team members to identify data models and algorithms to apply to unique client problemsIncrease and optimize user experiences, revenue generation, ad targeting and other business outcomes using predictive modelling and other advanced analysis techniquesCoordinate with internal and client data engineering teams to implement models and supervise outcomesSupport digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websitesDevelop and test applications (visualization, routing data, cleaning data,access to data, interacting with data) for analytics pipelines ExperienceCollege degree in Computer Science, Information Science or related field preferred - OR - successful completion of code school program combined with experience in data scienceSkilled with SQL and Python for advanced analysis requiredExperience with Google BigQuery or Google Cloud Platform (GCP), AWS or Azure tools as they relate to big dataProven track record to solve complex problems with timely delivery, the highest quality, and creativity in the approachAbility to listen and understand business needs and creatively develop solutionsAbility to work on a team and manage individual prioritize workloadStrong desire to become a proficient Data Scientist for a fast paced company